On the use of data analysis and OR modelling in MCDM problems: a case analysis – a rejoinder to the paper by Sousa Ribeiro et al

Q4 Engineering
J. Owsinski
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引用次数: 0

Abstract

Abstract Taking as an example the very interesting and motivating paper by Sousa Ribeiro et al. (2021) an attempt is made of providing a couple of insights into the decision making process from the point of view of the potentially helpful aspects of data analysis and OR-related modelling. These are just hints and suggestions, meant primarily to emphasise the multifaceted character of the decision making situations and processes, especially when concerning more complex issues. While the course of the procedure proposed and exemplified in Sousa Ribeiro et al. (2021) is treated as fully correctly and successfully carried out to the end, we wish to show the potential use of information, constituting in a sense a “by-product” of such a procedure, or, actually, of any similar procedure, aimed at supporting decision making.
关于在MCDM问题中使用数据分析和OR建模:一个案例分析——对Sousa Ribeiro等人的论文的回应
以Sousa Ribeiro等人(2021)撰写的一篇非常有趣且具有启发性的论文为例,本文试图从数据分析和or相关建模的潜在有用方面的角度,对决策过程提供一些见解。这些只是提示和建议,主要是为了强调决策情况和过程的多面性,特别是在涉及更复杂的问题时。虽然在Sousa Ribeiro等人(2021)中提出并举例说明的程序过程被认为是完全正确和成功地执行到最后的,但我们希望展示信息的潜在用途,在某种意义上构成这种程序的“副产品”,或者实际上是任何类似的程序,旨在支持决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Control and Cybernetics
Control and Cybernetics 工程技术-计算机:控制论
CiteScore
0.50
自引率
0.00%
发文量
0
期刊介绍: The field of interest covers general concepts, theories, methods and techniques associated with analysis, modelling, control and management in various systems (e.g. technological, economic, ecological, social). The journal is particularly interested in results in the following areas of research: Systems and control theory: general systems theory, optimal cotrol, optimization theory, data analysis, learning, artificial intelligence, modelling & identification, game theory, multicriteria optimisation, decision and negotiation methods, soft approaches: stochastic and fuzzy methods, computer science,
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